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What is OPUS?

OPUS stands out as a premier no-code AI platform designed specifically for the industrial sector, enabling users to effectively model both equipment and processes. By utilizing OPUS, organizations can access a wide array of benefits including insights for process optimization, predictive maintenance, reduced energy consumption, enhanced productivity, precise forecasting, greater asset reliability, diminished maintenance expenditures, improved planning capabilities, and valuable ESG reporting with carbon reduction insights. Teams can leverage this platform without needing any programming skills, allowing them to extract insights from their data and anticipate future scenarios effortlessly. Dive deeper into your asset's data like never before, revealing unforeseen correlations that may not have been immediately apparent. Conducting root cause analysis on specific components can help direct your efforts where they matter most, ensuring efficient use of resources. The automated AI predictive insights provided by OPUS enable strategic planning for interventions and empower you to make well-informed business decisions confidently. With the capability for rapid deployment and receiving AI model results in mere minutes after creation, organizations can harness the full potential of their existing operational data, leading to tangible returns on investment with the expertise of their current team of asset engineers, operators, and maintenance managers. Transform your entire facility, plant, or work site by tapping into the remarkable potential of automated AI and witness the significant improvements in operational efficiency and effectiveness. Seize the opportunity to elevate your industrial processes to new heights with OPUS.

What is Causelink?

The intuitive interface fosters instant interaction, negating the requirement for lengthy training sessions or intricate guides. By utilizing a straightforward drag and drop mechanism, you can efficiently design a product that remains accessible to everyone. It systematically organizes crucial components such as evidence, problem descriptions, actions executed, notes, attachments, and event summaries. Causelink acts not just as a documentation tool but also as a powerful resource for facilitation. The chart is essential for the investigation team, offering a centralized hub for all contributions and clarifying how each member's input contributes to the overall context. Team members can use the chart to share insights with one another, promoting a richer understanding of the root causes and their relationships. Additionally, they can visualize how their suggested solutions could help prevent future occurrences. After concluding the investigation, findings can be easily exported and shared with stakeholders. By implementing Causelink, you can drastically reduce the time allocated to investigations while improving the overall quality of the outcomes. Ultimately, it simplifies the entire procedure, enhancing both collaboration and efficiency in the process, which benefits the entire team.

Media

Media

Integrations Supported

AVEVA PI System
AWS App Mesh
Aspen HYSYS
Azure Industrial IoT
ControlST
FactoryTalk Historian
Microsoft Entra ID
PowerLogic ION EEM
Siemens APM

Integrations Supported

Active Directory
Enablon
IBM Maximo Application Suite
Microsoft Word
SAP Cloud Platform

API Availability

API Availability

Has API

Pricing Information

Competitive pricing structure based on number of sensors. Included unlimited users and AI model development.

Pricing Information

$384 per user per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

VROC

Date Founded

2016

Company Location

Australia

Company Website

vroc.ai/products/opus/

Company Facts

Organization Name

Sologic

Date Founded

2012

Company Location

United States

Company Website

www.causelink.com

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Rules-Based Automation

No-Code Development

AI-Assisted Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Templates
Visual Modeling

Root Cause Analysis

Not specified

Categories and Features

Root Cause Analysis

Not specified

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